Ying Shi
- Organic Chemistry top 2%
- Molecular Biology
- Inorganic Chemistry top 5%
- Biochemistry top 10%
- Infectious Diseases
- Co-authors
- Amir H. HoveydaSebastian TorkerFanke MengYuebiao ZhouBenqiang LiJie TaoHuili LiuByunghyuck Jung
- Topics
- Synthetic Organic Chemistry Methods (11 papers)Animal Virus Infections Studies (9 papers)Microbial Natural Products and Biosynthesis (8 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ying Shi
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Organic Chemistry 901
- Molecular Biology 279
- Inorganic Chemistry 198
- Biochemistry 81
- Infectious Diseases 76
Countries citing papers authored by Ying Shi
This map shows the geographic impact of Ying Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Shi more than expected).
Fields of papers citing papers by Ying Shi
This network shows the impact of papers produced by Ying Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying Shi. The network helps show where Ying Shi may publish in the future.
Co-authorship network of co-authors of Ying Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Shi. A scholar is included among the top collaborators of Ying Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Shi. Ying Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 21 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 57 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | 29 | |
| 14 | Pursing power in Arabic on-line discussion forums | 8 |
| 15 | 1 | |
| 16 | AC2-ADL: Architectural Description of Aspect-Oriented Systems | 6 |
| 17 | Applications of Stable nitrogen isotope on tobacco research | 2 |
| 18 | Implementation of Role object pattern with AOP | 1 |
| 19 | A Study on the Methodology of PDM Implementation | 2 |
| 20 | CONTACT TOXICITY OF SOME INSECTICIDES TO CERTAIN HYMENOPTEROUS PARASITOIDS | 1 |
About Ying Shi
Ying Shi is a scholar working on Animal Science and Zoology, Organic Chemistry and Pharmacology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Synthetic Organic Chemistry Methods (11 papers), Animal Virus Infections Studies (9 papers) and Microbial Natural Products and Biosynthesis (8 papers). The work is most often cited by research in Organic Chemistry (901 citations), Inorganic Chemistry (198 citations) and Biochemistry (81 citations). Ying Shi has collaborated with scholars based in China, United States and France. Frequent co-authors include Amir H. Hoveyda, Sebastian Torker, Fanke Meng, Yuebiao Zhou, Benqiang Li, Jie Tao, Huili Liu, Byunghyuck Jung, Xiao Shen and Jinghua Cheng. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.